Aya ExpansevsCohere Embed v4
Cohere vs Cohere — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Aya Expanse | Cohere Embed v4 |
|---|---|---|
| Provider | ||
| Arena Rank | — | — |
| Context Window | 128K | 128K |
| Input Pricing | Free/1M tokens | $0.12/1M tokens |
| Output Pricing | Free/1M tokens | $0.12/1M tokens |
| Parameters | 32B | Undisclosed |
| Open Source | Yes | No |
| Best For | Multilingual (23 languages), research | Semantic search, RAG embeddings, document retrieval |
| Release Date | Oct 24, 2024 | Mar 1, 2025 |
Aya Expanse
Aya Expanse is Cohere's multilingual open-source model supporting 23 languages, developed through the Cohere For AI research initiative with contributions from researchers worldwide. The 32B parameter model demonstrates strong performance across diverse languages and tasks, with particular attention to lower-resource languages that are often underserved by mainstream AI models. As an open-source contribution, Aya Expanse aims to democratize access to high-quality multilingual AI and enable researchers globally to build on its capabilities for their specific linguistic and cultural contexts.
View Cohere profile →Cohere Embed v4
Cohere Embed v4 is Cohere's latest embedding model supporting multimodal inputs for the first time — processing both text and images into unified vector representations. It generates high-quality embeddings for semantic search, RAG pipelines, and clustering applications. The model supports 100+ languages and produces compact, efficient embeddings that work well with vector databases. It represents a significant upgrade over text-only embedding models for building modern search and retrieval systems.
View Cohere profile →Key Differences: Aya Expanse vs Cohere Embed v4
Aya Expanse is open-source (free to self-host and fine-tune) while Cohere Embed v4 is proprietary (API-only access).
When to use Aya Expanse
- +Budget is a concern and you need cost efficiency
- +You need to self-host or fine-tune the model
- +Your use case involves multilingual (23 languages), research
When to use Cohere Embed v4
- +Quality matters more than cost
- +You prefer a managed API without infrastructure overhead
- +Your use case involves semantic search, rag embeddings, document retrieval
Cost Analysis
At current pricing, Aya Expanse is nullx more affordable than Cohere Embed v4. For a typical enterprise workload processing 100M tokens per month:
Aya Expanse monthly cost
$0
100M tokens/mo (50/50 in/out)
Cohere Embed v4 monthly cost
$12
100M tokens/mo (50/50 in/out)
The Verdict
Aya Expanse wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for multilingual (23 languages), research, though Cohere Embed v4 holds an edge in semantic search, rag embeddings, document retrieval.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages